P2P complex search based on Ontology
基于本体的P2P复杂搜索

The traditional DHT-P2P system has its limitations. It can only perform single keyword search and cannot understand the meanings of users' requests. P2P complex search based on Ontology was studied. Vector Space Model theory was used to describe documents. And the P2P identifier space was divided to gather the similar documents at adjacent nodes. Therefore, the problem of multi-keywords complex search was solved, and in the mean time, the search process was speeded up. With the help of Ontology, the whole system could understand users' requests better and broaden the searching scope reasonably to avoid missing partial result. Simulated system partially implemented by this theory has accomplished complex search, accelerated the search process, and improved the recall. In addition, it has achieved a better load balance of nodes.